sample patient databaseaudit assistant manager duties and responsibilities
Bahmad, H. F. et al. Article J. Here are some sample databases that contain synthetic (i.e., made up) patient data. Methods Mol. Similarly, the rise in health apps and products, such as smart watches, means that individual behavior is being more constantly recorded and from this patient data has evolved to include behavior data as well as basic medical information. Softw. Flexible Data Ingestion. and TCGA, as Barwick et al. The univariate Cox models agreed on the Hazard Ratio (HR) estimates and statistical significance across the methods and datasets, with HR estimates ranging between 2.02 to 2.45 in TCGA and 1.96 to 3.54 in Taylor et al. Integrative genomic profiling of human prostate cancer. Natl. A database is a logically integrated collection of data, organised to facilitate the efficient storage, modification and retrieval of related information. But with our graph database, the information was retrieved within A FEW MILLISECONDS! This speed applies to datasets much larger than 500 patients as well. Commun. All the data presented herein are available as MultiAssayExperiments25 via the curatedPCaData R package (https://github.com/Syksy/curatedPCaData) along with code that can be used to reproduce these objects. Tumor Microenvironment in Prostate Cancer: Toward Identification of Novel Molecular Biomarkers for Diagnosis, Prognosis, and Therapy Development. 72, 733 (2022). Med. We implemented the Oncotype DX66, Decipher11, and Prolaris10 risk scores based on the instructions in their original publications supported by the implementation outlined in Creed et al.67 The gene list (n=12 matching genes) for Oncotype DX matched perfectly with several studies: Abida et al.56, Kim et al.49,50, Ren et al.53, Sun et al.51,52, Taylor et al.4,39, TCGA2, Wallace et al.86,87, and Weiner et al.40,41 We considered TCGA to be the most complete dataset as well as most widely used, thus we used the gene expression from TCGA for testing the variability of the Oncotype DX score due to missing genes (Table2). MITRE has been involved in the creation and growth of many open-source projects including Synthea and other Health IT initiatives. Kunderfranco, P. et al. 13, 50285033 (2007). Patient data is information about individuals who receive medical treatment. Google Scholar. Take that service to the next level with healthcare patient dashboards, a healthcare dashboard example which equips stakeholders at all levels of the organization with insights and data about their . The summary is drawn from a dataset of 17,000 tests performed across 3 countries from 2018-2023 by properly licensed Clinical/ Medical Laboratories. Liu, W. et al. PopMedNetTM source code (Copyright 2012, Harvard Pilgrim Health Care) is licensed under the Apache License, Version 2.0 (the License); you many not use this file except in compliance with the License. This was performed by identifying the study in curatedPCaData that contained the most genes belonging to the scoring method. Researchers should also consider the original study aims, as these will be reflected in which metadata fields and omics that will be available. Nat. Urol. Novel Biomarker Signature That May Predict Aggressive Disease in African American Men With Prostate Cancer. Nat. The above sample datasets consist of Human-Bot Conversations, Chatbot Training Dataset, Conversational AI Datasets, Physician Dictation Dataset, Physician Clinical Notes, Medical Conversation Dataset, 3b. 12, 652747 (2021). We also removed low-quality samples which were excluded from the TCGA publication due to RNA degradation from the gene expression matrix to provide users with the most reliable information. Specifically to the Database that that company is using (i.e. Genome-wide germline correlates of the epigenetic landscape of prostate cancer. NICE Advice - Prolaris gene expression assay for assessing long-term risk of prostate cancer progression: NICE (2016). NCBI GEO: archive for functional genomics data sets-update. Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy. visualized data and analyses; T.G., B.L.F., S.T., J.C.C. Whether you're a primary care physician, physical therapist, psychiatrist, or medical specialist, our Patient Tracker will help you keep better track of your patients' health. A summary of the acquired datasets and their sources is presented in Table1. While general patterns of co-alteration were consistent between datasets, the statistical significance, as measured in the primary tumor setting (Taylor et al.4,39, TCGA2, Baca et al.58), not surprisingly is highly dependent on the size of the dataset. USA 103, 1099110996 (2006). Cancer Res. Barwick, B. G. et al. Patient data is a sub-category of Healthcare data. Award-winning SyntheticMass, is one of the applications already enabled by Synthea patient data. It can be used without restriction for a variety of secondary uses in academia, research, industry, and government. Barwick, BG., Seth, A., Leyland-Jones, BR. PubMed Grossman, R. L. et al. There are 20 genes that are used to calculate the AR score and we found that by removing 10 at random still provides an average AR score with a correlation of 0.930 (median=0.935; FigureS2d). The Agency for Healthcare Research and Quality (AHRQ) presents the dashboards of patient safety data received for analysis and publication in the Network of Patient Safety Databases (NPSD). Goodison, S. & Sun, Y. GEO https://identifiers.org/geo:GSE25136 (2010). The Collaborative's focus is to develop a Standard Health Record (SHR) and the technological infrastructure that drives health innovation. only report recurrence as a binary outcome without follow-up times, rendering it unsuitable for Cox proportional hazards models or survival estimation using the Kaplan-Meier method. True, L. et al. Coordinate loss of MAP3K7 and CHD1 promotes aggressive prostate cancer. On the other hand, if your use case is time-critical, you can buy real-time Patient Data APIs, feeds and streams to download the most up-to-date intelligence. duPlessis, M. et al. Laajala, T.D., Sreekanth, V., Soupir, A.C. et al. Cullen, J. et al. It also provides reference information for researchers to study diseases or the human body in general. PubMed Central Cell Biol. Library Guides: Health Statistics & Data: Datasets/Raw Data The lowest level is a clinical case (encounter) compr DeepPod is a data provider offering Pharma Data, Healthcare Marketing Data, Patient Data, Medical Claims Data, and 5 others. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Copy number and mutational landscapes across datasets. There is an increased concern that statins may have an unintended effect of elevated lipoprotein(a) [Lp(a)]. It's only synthetic data, but except for the PHIs, the data is quite good. 11, 34 (2019). A. et al. The images or other third party material in this article are included in the articles Creative Commons license, unless indicated otherwise in a credit line to the material. Yamoah, K. et al. 18, 220 (2017). Decipher, a 17-gene signature, showed similar results to Oncotype DX where removing 5 genes resulted in an average correlation of 0.921 (median=0.937; FigureS2c). Patient & Associated Sample Data Management - CloudLIMS Validation of the Decipher Test for predicting adverse pathology in candidates for prostate cancer active surveillance. Newman, A. M. et al. Nature 487, 239243 (2012). We evaluated the overall copy number landscape and found that independent datasets showed highly similar patterns of copy number gain and loss in primary tumors (Taylor et al.4,39, TCGA2, Baca et al.58) (Fig. Learn about patient data analytics, sources, and collection. Nucleic Acids Res. Decipher identifies men with otherwise clinically favorable-intermediate risk disease who may not be good candidates for active surveillance. The curatedPCaData R package provides a harmonized and centralized resource for prostate cancer studies with multi-omic and clinical data that can be leveraged easily for cancer research. Furthermore, we precomputed several prostate-specific genomic scores using the uniformly preprocessed and annotated gene expression data sets. Here, we present the curatedPCaData R package, a harmonized data resource representing >2900 primary tumor, >200 normal tissue, and >500 metastatic PCa samples across 19 datasets processed using standardized pipelines with updated gene annotations. Note that some datasets have matched normal samples to call somatic mutations and some datasets do not have matched normal samples and are thus tumor-only variants. Developers can visit Synthea's GitHub page to learn how to build and contribute to the project. Genes were defined to be co-occurring or mutually exclusive based on the odds ratio (OR) which is calculated as: OR=(Both* Neither)/(B Not A * A not B) where A and B stand for alterations in genesA and B respectively. We used the moderated t-test calculated through the limma R package to determine log fold changes and p-values for individual datasets. Ramos, M. et al. HDOs might achieve this by making available information on access to care, costs, appropriateness, effectiveness, and quality of health care services and providers. How to set up a clinical database | Practical Neurology Here are some sample databases that contain synthetic (i.e., made up) patient data. 1c). T.D.L., V.S., A.C.S., J.H.C., A.S.H., F.C.F.C., K.S., C.C.L. Finotello, F. et al. Characterization of 1577 primary prostate cancers reveals novel biological and clinicopathologic insights into molecular subtypes. APMIS 124, 433435 (2016). Clinics Database: What Problems they Can Solve Today | Proxet Longoni, N. et al. 2a), with samples from metastatic tumors (Abida et al.56) showing an overall increase in copy number alterations as has been previously reported2,56. SQL Hospital Database - Exercises, Practice, Solution - w3resource (b) Oncoprints (left side) for select prostate cancer-associated genes are displayed across datasets. Biomarkers Prev. 2b, note that not all datasets have all genes measured for mutations or copy number). 2. The consistent data processing and harmonization of gene names across datasets provide a ready to use resource for meta-analysis. BJU Int. Hieronymus, H. et al. Racle, J., de Jonge, K., Baumgaertner, P., Speiser, D. E. & Gfeller, D. Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data. Acad. In ambiguous cases, the primary publications and the supplementary material were mined, along with contacting the primary authors in many cases, in an effort to offer accurate and up-to-date information on both the clinical metadata and the primary data. MathSciNet This Playbook is intended for medical professionals who have a rolemajor or minorin responding to and fulfilling requests to share patient health records. The correlations reported in Fig. 35, 19911998 (2017). ADS Different samples collected from the patient can be registered and associated with the patient record. Uncover data-driven insights that improve your clinical decision-making and care experiences while transforming healthcare operations and outcomes. J.C.C. Frontiers | Molecular characterization of colorectal adenoma and Becht, E. et al. All other authors declare no competing interests. Baca, S. C. et al. It also provides reference information for researchers and pharmaceutical companies to study diseases, human anatomy, and drug efficacy. Liu, W. et al. 38, 675678 (2020). Cancers 12 (2020). Planey, K. curatedBreastData: Curated breast cancer gene expression data with survival and treatment information. curatedPCaData is an open and accessible community resource with code made available for reproducibility. The mutation calling status is noted in the Mutation_status field. Natl. Zhang, Y. et al. Zuazo-Gaztelu, I. Anyone you share the following link with will be able to read this content: Sorry, a shareable link is not currently available for this article. The patient's primary care physician is not the head of any department. CAS Herlemann, A. et al. This yielded log-ratios, which were input to GISTIC257 when available. From data collection, lic At Diaceutics we believe that every patient should have access to the right treatment at the right time Journal of Medical Internet Research - Adaptation and Implementation of Suppression of Tak1 promotes prostate tumorigenesis. The genes reported in Fig. Check out the SHR Specification Viewer to provide feedback on the current iteration of the SHR. We then mapped all the gene names to the up-to-date dictionary to ensure consistency in HGNC symbols across all datasets. 72, 28332843 (2012). PDF Patient Records Electronic Access Playbook | AMA These modules are informed by clinicians and real-world statistics collected by the CDC, NIH, and other research sources. Prolaris, a 34-gene signature, also proved to be highly robust whereby removing 10 random genes from the Prolaris gene list in the Kunderfranco et al. A liftover from hg19 to hg38 was done as part of the harmonization using the liftOver function from rtracklayer (R package version v1.56.1), for mutations called with an older genome assembly to ensure uniformity. Use the buttons to the leftbelow to download over a thousand sample patients in the available formats. Cancer Cell 10, 321330 (2006). mRNA expression signature of Gleason grade predicts lethal prostate cancer. Statistical modeling used to identify interesting derived features predictive of biochemical recurrence were based on 10-fold cross-validation (CV) of Cox models regularized using LASSO from glmnet (R package version v4.1-4)92. Biotechnol. Integrative clinical genomics of advanced prostate cancer. Clinicopathological features were processed using R scripts customized to each dataset. Zenodo https://doi.org/10.5281/zenodo.7995819 (2023). Article There is an expectation that multiple, independent datasets that report molecular features across cancer patient cohorts with similar clinical profiles will reveal similar biological findings. Genome Biol. Tomlins, S. A. et al. To determine the impact that gene missingness on the precomputed scores would have on those studies without all genes, we benchmarked the Oncotype DX66, Decipher11, and Prolaris10 risk scores and the AR score. Med. Traditional medical data - Traditional data includes information such as health history, diagnoses, current medications, vaccination record, and ongoing or historical treatments. Article Epidermal Growth Factor Receptor (EGFR) mutation analysis, gene expression profiling and EGFR protein expression in primary prostate cancer. Our mission is to provide high-quality, synthetic, realistic but not real, patient data and associated health records covering every aspect of healthcare. There is one observation per patient. PubMed Their diseases, conditions and medical care are defined by one or more generic modules. As such, the presented proof-of-concept analyses provide merely a staging platform for more efficient exploration of multi-omics signatures coupled with clinical metadata for the wider research community for prostate cancer. The HCAHPS Patient Survey, also known as the CAHPS Hospital Survey or Hospital CAHPS, is a survey instrument and data collection methodology for measuring patients' perceptions of their hospital experience. The code used to generate the MAE objects is offered within the R package and GitHub repository. A Biopsy-based 17-gene Genomic Prostate Score Predicts Recurrence After Radical Prostatectomy and Adverse Surgical Pathology in a Racially Diverse Population of Men with Clinically Low- and Intermediate-risk Prostate Cancer. PubMed Song, M. S., Salmena, L. & Pandolfi, P. P. The functions and regulation of the PTEN tumour suppressor. This lack of commercial conflicts of interest forms the basis for MITREs objectivity and subsequent ability to inform critical government and industry initiatives. Discover similar data types, patient data use cases, and featured data providers. Prolaris required the largest number of genes (n=34 matching genes) to calculate risk. Association of statin use and increase in lipoprotein(a): a real-world Estimates of endothelial cell content are associated with clinical outcomes. Ambs, S., Hudson, R. & Yi, M. Businesses - Pharmaceutical companies rely on patient data for market research to identify gaps in the market for healthcare and medical solutions. Oncol. For example, historical Patient Data is usually available to download in bulk and delivered using an S3 bucket. Lastly, the AR score was calculated by taking the mean across scaled gene expression values and found to be robust to the removal of genes. Overall, we found that pairwise Pearson correlation between datasets was generally moderate to low and statistically significant. It began in 1992. Database Examples Introduction | MongoDB Given the value to the PCa research field in having a unified resource of molecular features across independent studies, we developed a curated, comprehensive, and harmonized PCa resource that contains multi-omic and clinical data from 19 PCa studies. All layers of data, namely the gene expression, copy number alterations, and mutations, underwent a harmonization process to ensure uniform gene naming conventions. curatedPCaData 0.99.1. Abundance of Microvascular Endothelial Cells Is Associated with Response to Chemotherapy and Prognosis in Colorectal Cancer. Sample Database for Patient Tracking Knee osteoarthritis accounts for nearly four-fifths of the burden of osteoarthritis internationally, and 10% of adults in the United Kingdom have the condition. Creed, J. H. et al. For these genes, we found the copy number alteration and mutation patterns to be consistent across datasets (Fig. Rb1 and Trp53 cooperate to suppress prostate cancer lineage plasticity, metastasis, and antiandrogen resistance. Article Benefits of this research is to provide convenience to the officers for patient . Sci. Article Acad. contributed original analyses; T.D.L., V.S., A.C.S., M.V.O. Popular Patient Data products and datasets available on our platform are Healthcare Analytics Dashboards and Reports (Patient Data, HCP Data, Lab Test, Demographic, Diagnosis, Procedure) by OmniSol, Healthcare Billing Data by Procedures - (diagnosis, procedure) - 3+ million unique patients, with a total of 10+ years by OmniSol, and pharma data of medication taken by DeepPod. Eur. You can also build the project yourself to generate your own patients. 10 Best Healthcare Data Sets With Examples - Cprime We show that meta-analysis across harmonized studies has great potential for robust and clinically meaningful insights. Hieronymus, H. et al. In addition, derived features, such as estimates of cell composition, risk scores, and androgen receptor (AR) scores, can be used to develop novel hypotheses leveraging existing multi-omic datasets. The resulting datasets were thus standardized to be as comparable as possible, while retaining details essential to the studies. 25, 16151626 (2019). as the benchmarking study for Prolaris (Table2). Healthcare Dashboards Examples: 4 Actionable Examples - Medical Advantage Nat. MITRE cannot compete for anything except the right to operate FFRDCs. Erho, N. et al. T hey are made available to the public so interested parties can get a feel for how PopMedNet queries multiple data models. However, no significant differences in disease free survival were found for patients that were stratified according to the 8-group prostate cancer (PCa) taxonomy defined by The Cancer Genome Atlas (TCGA) using single gene molecular alterations2. BMC Genomics 14, 690 (2013). Mutual exclusivity plots for different data sets shown in Fig. Clin. Sample Database for Patient Tracking Created Date: 4/19/2017 2:40:06 PM . To support developers, clinicians and researchers alike, Synthea data is exported in a variety of data standards, including HL7 FHIR, C-CDA and CSV. Yoshihara, K. et al. 2b). 44, 685689 (2012). The gene list (n=17 matching genesin TCGA) for Decipher did not have a 1-to-1 match with any study in curatedPCaData, but did have the highest number of matching genes in Ren et al.53 (18 genes were a 1-to-1 match with two genes from Decipher missing) while Abida et al.56, Friedrich et al.46,47, and TCGA2 had slightly fewer number of matching genes (17 genes were a 1-to-1 with 3 genes missing). If you have any questions, contact a member of your care team directly. Cell 161, 12151228 (2015). and Barwick et al.42,43 While datasets with gene expression from metastatic tumors are few, the pattern of correlation between Chandran et al.54,55, Abida et al.56, and Taylor et al.4,39 were lower, likely due to the intrinsic heterogeneity of measuring gene expression from samples in the metastatic setting. w hile responsibilities vary widely across practices, this may include receptionists, office managers, medical records personnel, andto varying degreehealth care providers, such as medical. Sample Data Sets: Patient Data - SAS Support dataset had an average correlation with the original score of 0.973 (median=0.974; FigureS2b). The number of combinations used for assessing impact of missingness in Decipher11, Oncotype DX66, and AR scores was 100 while Prolaris risk score used 50 combinations. Since the number of gene combinations that can be made by simulating 10 missing genes for a risk score such as Prolaris10 is large, the combinations were sampled to cut down on vignette and package build time. 41, 711724 (2018). & Xu, J. Clinically available RNA profiling tests of prostate tumors: utility and comparison. No additional normalization was done on the gene expression data from cBioPortal, since cBioPortal offers pre-normalized data. As an example, with 5 genes missing over 100 random sampling iterations, the average correlation coefficient was 0.891(median=0.903) compared to the ground truth score using all genes (FigureS2a). Kunderfranco et al.88,89 had the highest number of matching genes with 32 1-to-1 matches and only 2 genes missing. shiny: Web Application Framework for R. https://shiny.rstudio.com/ (2022). Database 2013, bat013 (2013). A patient tracker template is a medical record used by doctors to track a patient's status as they receive treatment. Eur. Bioinformatics 30, i105112 (2014). Find Open Datasets and Machine Learning Projects | Kaggle The purpose of this study is to design and create a System Information On Inpatient Clinic Prima Husada Pacitan used to assist officers in managing patient data, data doctors who treat patients, keep the existing schedule data on Inpatient Clinical Prima Husada. A patient registry is defined as "an organized system that uses observational study methods to collect uniform data (clinical and other) to . The authors would like to extend gratitude to the curated datasets original authors, who provided irreplaceable advice and additional information for their studies. 21, 938945 (2015). The patient has undergone a procedure with a cost larger that $5,000; The patient has had at least two appointment where the nurse who prepped the appointment was a registered nurse. Nucleic Acids Res. Ku, S. Y. et al. A reliable molecular biomarker that stratifies aggressive vs. indolent disease is increased frequency of Copy Number Alterations (CNAs)4,5,6,7; however, this finding provides little mechanistic or therapeutically actionable insight. Biotechnol. Wallace, T. A. et al. Abida, W. et al. Cancer Res. These data can be used to better characterize the molecular features associated with clinical outcomes and to test hypotheses across multiple, independent patient cohorts. Sci. Google Scholar. Some of these signatures have been clinically successful11,17,18; however, an overwhelming amount of gene expression profiling results lack replicability between studies resulting in inconsistent lists of candidate genes associated with PCa prognosis19. These Medication Chart Templates are designed as systematical accounts of the medical history & care received by a patient by one specific doctor or say hospital. Healthcare Analytics Dashboards and Reports (Patient Data, HCP Data, Lab Test, Demographic, Diagnosis, Procedure), OmniSol | Healthcare Data | Lab Results - Full Blood Count | Covers Age, Gender, Ethnicity | Product Research, Healthcare Demographic and Medical Data - (Gender, Diagnosis, Treatment, Medicine) - 20+ thousand, Healthcare Billing Data by Procedures - (diagnosis, procedure) - 3+ million unique patients, with a total of 10+ years, Syntegra Synthetic EHR Data | Structured Healthcare Electronic Health Record Data, Syntegra Synthetic Claims Data | Medicare Claims | Multiple Formats, OmniSol | Benchmarking Report Healthcare Data | Consulting Service, Diaceutics Repository of Diagnostic Testing Data, Synthetic provider Network Access Data (geographical location, and patient traval distanct), OmniSol | Africa provider Network Access Data | geographical location, and patient travel distance, OmniSol | 2023 Synthetic Patient Electronic Health Records | Diagnosis, Treatment, Medication, and Dental, OmniSol | 2022 Synthetic Patient Electronic Health Records | Diagnosis, Treatment, Medication, and Dental | Healthcare Research, OmniSol | Synthetic Data | Patient Journey (Diagnosis, Treatment, Medication and Dental Records) | 3+ Million Unique Patients | AI-Assisted Diagnosis, Healthcare Analytics Dashboards (Patient Data, HCP Data, Lab Test, Demographic, Diagnosis, Procedure), Healthcare Analytics Dashboards and Reports (Patient Data, HCP Data, Lab Test, Demographic, Diagnosis, Procedure) by OmniSol, Healthcare Billing Data by Procedures - (diagnosis, procedure) - 3+ million unique patients, with a total of 10+ years by OmniSol, pharma data of medication taken by DeepPod.
